Veeva Configuration Engineer
1 month ago
Predactica, an AI/ML product based startup company, is seeking a Viva certified developer in India for one of its clients.
As a Veeva configuration engineer, you will be accountable for developing, optimizing, and managing IT services/applications in Veeva with a focus on Clinical trial management. You will also focus on ensuring cost-effectiveness, scalability, and security in all aspects of the digital product lifecycle, including maintenance activities.
**Key Responsibilities**
• Independently lead and manage business stakeholders, providing design and configuration solutions, conducting Proof of Concepts (POCs), managing testing, and overseeing data loads.
• Lead the impact assessment of Veeva product releases in collaboration with the business and testing teams.
• Ownership of monthly Business As Usual (BAU) releases.
• Independently provide support and resolve critical end-user issues.
• Collaborate with and support the existing L2 team to address and resolve priority user concerns.
• Work autonomously, demonstrate leadership in working with cross-functional teams, and has strong problem-solving capabilities in a Veeva environment.
• Responsible for the quality of the technical deliverables which also includes peer reviews.
• Act as a subject matter expert for Veeva to support the design, implementation, and maintenance of reliable and performant integrations.
**Qualifications and Experience**
• Extensive hands-on experience with Veeva configurations, with a particular focus on Quality Management Systems (QMS).
• Strong functional knowledge and deep understanding of the Veeva Vault, including processes, workflows, and configurations.
• Understanding of Veeva's architecture, data models, and integration methods.
• Proficiency in configuration tools and methodologies specific to Veeva.
• Certification of the Veeva platform will be value-added.
• Clinical Domain Knowledge: Understanding of clinical trial processes, regulatory requirements, and standards like Good Clinical Practice.
• 3-5 Years of relevant work experience with Bachelor's degree in Computer Science/IT/Engineering or 5 – 7 Years of relevant work experience.
• At least 3+ years experience of working in one or more multinational work environments (e.g., life science industry experience is a plus).
**Good to Have**
• Working knowledge of Computer Systems Validation (CSV) and GxP.
• Working knowledge of regulations like HIPAA and GDPR in the healthcare industry.
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